codanna

Name: codanna
Availability: InStock
Author: lprior-repo

Index code repositories for symbol lookup, call graph tracing, and semantic search.

1|Updated Feb 17, 2026

Search Tags:#mcp #multi-repo #semantic-search #code-intelligence #cli-tools #symbol-lookup

Ready to run

npx skills add https://github.com/lprior-repo/claude-skills --skill codanna

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codanna
Source: https://github.com/lprior-repo/claude-skills/tree/main/codanna
Command: npx skills add https://github.com/lprior-repo/claude-skills --skill codanna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code intelligence that helps developers navigate large codebases, locate implementations, and trace relationships between symbols, with concept-based search and MCP integration.

Core Features & Use Cases

Semantic search by concept to locate code related to a description (e.g., "where's the retry logic?").
Fast symbol lookups with memory-mapped caches for quick symbol resolution.
Call graph tracing: determine what a function calls and who calls it.
MCP protocol integration to power AI-assisted development workflows.
Per-repo setup and multi-repo workflows with repo-scoped configuration for consistent environments.

Quick Start

Configure codanna for your target repo, index the code, and start the MCP server to begin symbol lookups and semantic search.

Frequently Asked Questions about codanna

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I perform semantic code search across multiple repositories?▼

You can perform semantic code search by configuring per-repo setups and indexing your codebases, allowing concept-based queries to locate implementations and trace relationships across multi-repo environments.

Can I trace call graphs and locate function implementations in large codebases?▼

Tracing call graphs and locating implementations is supported through fast symbol lookups using memory-mapped caches, helping you determine what a function calls and who calls it.

How does MCP integration work for AI-assisted code exploration?▼

MCP protocol integration exposes codebase exploration and symbol lookup capabilities as tools, powering AI-assisted development workflows to navigate large codebases programmatically.

What is the best way to set up multi-repo code intelligence with per-repo configuration?▼

Multi-repo code intelligence is set up using per-repo configuration with repo-scoped settings, ensuring consistent environments for indexing and semantic search across all repositories.

Does semantic code search work for finding implementations by concept description?▼

Semantic search by concept supports finding implementations from descriptions like "where's the retry logic?" without needing exact string matches, enabling concept-based code location.